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- W3149806467 abstract "Edge devices are usually limited in resources. They often send data to the cloud, where techniques such as filtering, aggregation, classification, pattern detection, and prediction are performed. This process results in critical issues such as data loss, high response time, and overhead. On the other hand, processing data in the edge is not a simple task due to devices’ heterogeneity, resource limitations, a variety of programming languages and standards. In this context, this work proposes STEAM, a framework for developing data stream processing applications in the edge targeting hardware-limited devices. As the main contribution, STEAM enables the development of applications for different platforms, with standardized functions and class structures that use consolidated IoT data formats and communication protocols. Moreover, the experiments revealed the viability of stream processing in the edge resulting in the reduction of response time without compromising the quality of results." @default.
- W3149806467 created "2021-04-13" @default.
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- W3149806467 date "2021-06-01" @default.
- W3149806467 modified "2023-09-24" @default.
- W3149806467 title "Simplifying IoT data stream enrichment and analytics in the edge" @default.
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- W3149806467 doi "https://doi.org/10.1016/j.compeleceng.2021.107110" @default.
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